Following the release and an introductory blog post on Tapyr, our Shiny for Python framework, we recently hosted a Shiny Gathering to further explore its features and capabilities. ‍ Ready to simplify your PyShiny dashboard development? Learn how to get started with Tapyr in this introductory guide. ‍Here’s a summary ...

Are you an R/Shiny user looking to leverage the incredible capabilities of Shiny for Python without sacrificing the familiarity and comfort of your existing tools? Introducing Tapyr—our Shiny for Python framework. It brings Rhino-like capabilities from the R world and more to the Shiny for Python ecosystem, helping ...

Business needs to have dashboards validated. Many companies have dedicated Quality Assurance teams. As software engineers, we call the validation process testing. The process of validating an app by mimicking real users behavior is called end-to-end testing. It’s not some function, runs with some parameters, and we’re happy. ...

Ignite your passion and propel your career at ShinyConf 2024, online from the 17th to the 19th of April! This isn’t just another conference; it’s an opportunity to stay ahead of the curve. Dive into workshops, seminars, and sessions that push your abilities. Master foundational concepts or explore advanced ...

Git best practices are essential for developers looking to manage their projects efficiently. In this article, we’ll dive into the key techniques that can transform your version control workflow, ensuring you leverage Git to its full potential for improved productivity and collaboration.‍ We already introduced you to Git and ...

Crafting compelling narratives often depends on presenting insights clearly and effectively. This skill is key for data science. For users of R’s {gt} package, it has provided a powerful and flexible way to create publication-quality tables in Quarto reports or Shiny apps such as clinical trial reports, research documents, ...

Data visualization and analytics tools are crucial for businesses and researchers alike. Power BI, Spotfire, and R Shiny have emerged as significant players in the market. This article aims to compare these data visualization tools for businesses across various parameters, helping you make informed decisions based on your specific dashboard ...

ShinyConf 2024 is just around the corner (April 17-19), and it’s shaping up to be an event you don’t want to miss! Held annually, ShinyConf brings together the brightest minds in R/Shiny developers and data science to share insights, innovations, and best practices. Key Highlights This year’s ...

Data management in the pharmaceutical industry presents unique challenges, often compounded by the sheer volume and complexity of clinical trial data. Traditional methods, particularly spreadsheet-based approaches, have long been the norm, yet they pose significant drawbacks. Interested in advancing clinical research with dynamic reports? Uncover how Shiny and Quarto can ...

Shiny has long stood as a pillar of functionality and flexibility for R-based web applications. Let’s explore Shiny Express — an emerging Python-centric framework in development that combines the ease of Streamlit with the robustness of Shiny. This article explores the nuances of Shiny Express and what differentiates it from ...